Rethinking the Localization in Weakly Supervised Object Localization-Reference-Cited by-同舟云学术

Rethinking the Localization in Weakly Supervised Object Localization

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Xu Rui¹^ORCID,Luo Yong²^ORCID,Hu Han³^ORCID,Du Bo²^ORCID,Shen Jialie⁴^ORCID,Wen Yonggang⁵^ORCID

Affiliation:

1. Wuhan University, Wuhan, China

2. Wuhan University & Hubei Luojia Laboratory, Wuhan, China

3. Beijing Institute of Technology, Beijing, China

4. City, University of London, London, United Kingdom

5. Nanyang Technological University, Singapore, Singapore

Funder

National Key Research and Development Program of China

National Research Foundation Singapore and DSO National Laboratories under the AI Singapore Programme

National Natural Science Foundation of China

Special Fund of Hubei Luojia Laboratory

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611959

Reference55 articles.

1. Kyungjune Baek Minhyun Lee and Hyunjung Shim. 2020. PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. In AAAI. 10451--10459. Kyungjune Baek Minhyun Lee and Hyunjung Shim. 2020. PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. In AAAI. 10451--10459.

2. David Berthelot Nicholas Carlini Ian J. Goodfellow Nicolas Papernot Avital Oliver and Colin Raffel. 2019. MixMatch: A Holistic Approach to Semi-Supervised Learning. In NIPS. 5050--5060. David Berthelot Nicholas Carlini Ian J. Goodfellow Nicolas Papernot Avital Oliver and Colin Raffel. 2019. MixMatch: A Holistic Approach to Semi-Supervised Learning. In NIPS. 5050--5060.

3. End-to-End Object Detection with Transformers;Carion Nicolas;ECCV,2020

4. Mickaël Chen Thierry Artières and Ludovic Denoyer. 2019. Unsupervised Object Segmentation by Redrawing. In NIPS. 12705--12716. Mickaël Chen Thierry Artières and Ludovic Denoyer. 2019. Unsupervised Object Segmentation by Redrawing. In NIPS. 12705--12716.

5. Minsu Cho Suha Kwak Cordelia Schmid and Jean Ponce. 2015. Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. In CVPR. 1201--1210. Minsu Cho Suha Kwak Cordelia Schmid and Jean Ponce. 2015. Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. In CVPR. 1201--1210.

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